Relevance Feedback Algorithm Based on Memory Support Vector Machines
基于记忆的SVM相关反馈算法

Support vector machine(SVM) is based on the minimum of structure risk and used for small samples in ma- chine learning. Memory support vector machine(MSVM) feedback is based on SVM and used cumulation samples repla- cing feedback samples by memory. It reduces the risk of recall vibration. MSVM feedback also proposes memory label which is used for lightening user's burden. MSVM feedback is proved its superiority by relevant experiments.